Director, Data Science - Hybrid

Job Description

The Director, Data Science (R-track) provides strategic leadership and governance for analytics and data enablement across multiple therapeutic areas. This individual defines and oversees the implementation of enterprise-wide data and analytics strategies, ensuring high-quality automation, methodological consistency, and alignment with clinical and digital health objectives. The Director, Data Science establishes governance frameworks, drive cross-functional collaboration, and advance innovation in analytical methodologies, tools, and automation.

Responsibilities

Data analysis, insights, and visualization

• •Lead the development and execution of therapeutic-area data enablement and analytics strategies aligned with organizational goals.
• •Guide the creation of analytics KPIs (Key Performance Indicators) and dashboards to monitor data performance, quality, and operational efficiency across therapeutic areas.
• •Serve as a key advisor to executive leadership, governance boards, and cross-functional leaders by translating analytical insights into strategic business decisions.

Technical delivery, automation, ML/AI enablement

• •Maintain accountability for the design, performance, and integrity of automated data and analytics pipelines, ensuring scalability and compliance with regulatory standards.
• •Oversee analytics governance to ensure consistent application of standards, metrics, and quality controls across programs and platforms.
• •Drive adoption of emerging technologies (e.g., AI/ML, advanced data visualization, predictive analytics) and promote continuous improvement in analytical efficiency and value generation.
• •Define and enforce best practices for dataset design, feature engineering, and analytical evaluation to ensure comparability and reproducibility across studies.
• •Lead and mentor analytics team members, fostering an environment of innovation, accountability, and collaboration.
• •Strengthen organizational analytics maturity through targeted capability development and knowledge-sharing initiatives.
• •Partner with clinical, data management, and IT teams to ensure cohesive, interoperable analytics processes that drive meaningful business and scientific outcomes.
• •Champion organizational change; drive adoption of new operating models and digital capabilities across global functions

Technical skills

• •Expert knowledge of analytics governance frameworks, successful data strategy implementation, and cross-functional data integration techniques.
• •Expert knowledge in advanced data analytics, automation, and AI/ML evaluation applied to clinical and digital health data.
• •Expert experience in designing and overseeing automated analytics pipelines, data architectures, and metadata-driven workflows.
• •Expert command of programming languages and analytics tools (e.g., Python, R, SQL) as well as data visualization and monitoring platforms (e.g., Power BI, Tableau, Spotfire).
• •Expert knowledge of clinical and real-world data standards (e.g., CDISC, SDTM) and of regulatory compliance requirements (e.g., GxP, 21 CFR Part 11).
• •Expert experience driving enterprise-scale data transformation initiatives and enabling scalable, technology-driven analytics ecosystems.

Non-technical skills

• •Ability to distill complex issues into decision-ready narratives; frames options, risks, and recommendations to influence senior decisions.
• •Strong proficiency in driving adoption of standardized methods/ways of working; mobilizes cross-functional champions and measures uptake.
• •Capable of aligning senior stakeholders on objectives, interfaces, and responsibilities, while ensuring clean handoffs and conflict resolution
• •Coordinates decisions across regions/time zones; uses asynchronous mechanisms to maintain momentum.
• •Engages vendor forums; represents team professionally and credibly under pressure; maintains resilience and composure.
• •Resilient and adaptable, with a balance of strategic vision and operational execution.
• •Ability to integrate business, operational, and people dimensions into decision-making.

Enterprise Leadership Skills

• •Business Savviness​ | Anticipates business and regulatory issues and shapes strategy accordingly; connects technical expertise to organizational and industry context to make strategic recommendations​
• •Influence | Leads large teams / projects, helps shape departmental strategy influences leaders, peers, and cross-functional partners to align on decisions and strategic direction​
• •Change Catalyst​ | Drives improvements (e.g., organizational and cultural changes) with broader impact; demonstrates adaptability and ability to collaborate with others to make change successful; helps others overcome resistance to change​

Qualifications & experience

• •Bachelor's Degree in Computer Science, Statistics, Pharmacy, Nursing, Biological Sciences, or health care related discipline with a minimum of 10 years of experience in relevant field for job description, including:
• •Demonstrated aptitude of working with large datasets to transform into actionable insights, deep subject matter expertise in relevant discipline
• •People management skills
• •Programming and/or analysis experience may include SQL, Python, R, Databricks and the like.
• •Expert knowledge of statistics, data visualization, organizational skills, time management, and database concepts.

OR

• •Advanced Degree (Masters or Doctorate) in Computer Science, Statistics, Pharmacy, Nursing, Biological Sciences, or health care related discipline with a minimum of 8 years of experience in relevant field for job description, including:
• •Demonstrated aptitude of working with large datasets to transform into actionable insights, deep subject matter expertise in relevant discipline
• •People management skills
• •Programming and/or analysis experience may include SQL, Python, R, Databricks and the like.
• •Expert knowledge of statistics, data visualization, organizational skills, time management, and database concepts.

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Required Skills:

Business Agility, Business Decisions, Database Design, Data Literacy, Data Modeling, Data Organization, Data Science, Data Visualization, Project Management, Stakeholder Relationship Management

Preferred Skills:

Clinical Operations, Data Analysis, Data Analytics, Machine Learning

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The salary range for this role is

$190,800.00 - $300,300.00

This is the lowest to highest salary we in good faith believe we would pay for